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Template Matching

Template matching is a technique that is used to find a subimage or a patch (called the template) within a larger image. The basic idea behind template matching is to slide the template image over the larger image and compare the template to each portion of the larger image to determine the similarity between the template and the corresponding portion of the larger image.

Papers

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Showing 1–10 of 219 papers

TitleStatusHype
R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement LearningCode2
H-QuEST: Accelerating Query-by-Example Spoken Term Detection with Hierarchical Indexing—0
Deep Learning-based Multi Project InP Wafer Simulation for Unsupervised Surface Defect Detection—0
Through-the-Wall Radar Human Activity Recognition WITHOUT Using Neural NetworksCode0
DeepSync: A Learning Framework for Pervasive Localization using Code Synchronization on Compressed Cellular Spectrum—0
Clustering Internet Memes Through Template Matching and Multi-Dimensional SimilarityCode0
Real-Time Sleepiness Detection for Driver State Monitoring System—0
Active 6D Pose Estimation for Textureless Objects using Multi-View RGB Frames—0
A Hybrid Edge Classifier: Combining TinyML-Optimised CNN with RRAM-CMOS ACAM for Energy-Efficient Inference—0
DreamTrack: Dreaming the Future for Multimodal Visual Object Tracking—0
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